£114.88

Springer Design of Intelligent Systems - Fuzzy Logic & AI Book

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Description

Explore the latest developments in computational intelligence with this comprehensive volume from Springer. As part of the Studies in Computational Intelligence series (601), this book provides a deep look into the design of intelligent systems using fuzzy logic, neural networks, and nature-inspired optimization. The text covers a wide range of practical applications, including intelligent control, robotics, pattern recognition, and time series prediction. It is structured into eight main parts to help readers navigate complex subjects systematically. The first section focuses on the theoretical aspects of fuzzy logic, offering new concepts and algorithms designed to improve fuzzy systems. This resource is an essential addition for those studying the optimization of complex problems and the integration of various AI methodologies. Whether you are researching new algorithms or looking for applications in robotics and control, this book offers organized, research-based insights into the evolving field of machine learning and intelligent system design.

Key Features

Covers essential topics including fuzzy logic, neural networks, and nature-inspired optimization techniques.

Provides practical application insights for robotics, intelligent control, and pattern recognition.

Includes research on time series prediction and the optimization of complex problems.

Organized into eight distinct parts to allow for structured study of different subject areas.

Features theoretical papers that propose new concepts and algorithms for fuzzy systems.

Part of the authoritative Studies in Computational Intelligence series (601) by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 October 2016
Listed Since
07 October 2016

Barcode

No barcode data available

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